PKDD
2015
Springer
9 years 11 months ago
2015
Springer
Abstract. This work is in the context of kernel-based learning algorithms for sequence data. We present a probabilistic approach to automatically extract, from the output of such s...
100
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PKDD
2015
Springer
9 years 11 months ago
2015
Springer
Abstract. Machine learning processes consist in collecting data, obtaining a model and applying it to a given task. Given a new task, the standard approach is to restart the learni...
100
click to vote
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
Rank aggregation is an important task in many areas, nevertheless, none of rank aggregation algorithms is best for all cases. The main goal of this work is to develop a method, whi...
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
The importance of Markov blanket discovery algorithms is twofold: as the main building block in constraint-based structure learning of Bayesian network algorithms and as a techniqu...
102
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
